Separation of a single photon and products of the 0, andK0smeson neutral decay channels using neural network

2001/08/31 by D. V. Bandourin, D.V Bandurin, N. B. Skachkov +1 · 1 citation
Physics and Astronomy · #High-Energy Particle Collisions Research #Particle physics theoretical and experimental studies #Quantum Chromodynamics and Particle Interactions #hep-ex

paper · pdf · doi:10.1088/1126-6708/2004/04/007

published as JHEP 0404:007,2004 · 16 pages, uses cernrep.cls style file

arxiv created 2002/01/02 · openalex publication_date 2004/04/05 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28

Abstract

The artificial neural network approach is used for separation of signals from a single photon γ and products of the π⁰,η, K⁰_s meson neutral decay channels on the basis of the data from the CMS electromagnetic calorimeter alone. Rejection values for the three types of mesons as a function of single photon selection efficiencies are obtained for two Barrel and one Endcap pseudorapidity regions and initial \Et of 20, 40, 60 and 100 GeV.

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